Social Media and Web Sensing on Interior and Urban Design

Social media and web sites provide an access to pub-lic opinions on certain aspects and therefore play an important role in getting insights on targeted audiences. Designers have been investigating how to use them for grasping social feelings and needs associated with the arrangement of spaces that surround people in everyday life to find inspiration and come up with ideas for adaptive designs. Following this, we propose a novel design-oriented tool-set that retrieves and analyses online public information from Twitter and focused content from relevant web sites. We present the data collection pipeline and multilingual analysis algorithms like concept extraction and sentiment analysis on interior and urban design. Finally, we showcase an application of the proposed tool-set within two case studies.